Model comparison
Ling-1T vs Ling 3.1 Flash
Price history, scores and specs for both models, line by line. Every value shows where it came from and when we last confirmed it.
Inclusionai
Ling-1T
Tool-capable chat model for instruction following and agentic application workflows.
Inclusionai
Ling 3.1 Flash
Ling 3.1 Flash is a hybrid reasoning mixture-of-experts model from inclusionAI, with 25B active parameters out of 560B total.
Price history
Prices side by side, day by day
- Ling-1T No price history checked yet
- Ling 3.1 Flash
- Ling-1T No price history checked yet
- Ling 3.1 Flash
Prices are the listed OpenRouter base rates in US dollars. A day we could not confirm is left out of the line, never filled in.
Price
What each one costs now
| Measure | Ling-1T | Ling 3.1 Flash |
|---|---|---|
| Input price | Not checked yet | $0.045 per million tokens |
| Output price | Not checked yet | $0.135 per million tokens |
Scores
Benchmarks, with source and date
| Measure | Ling-1T | Ling 3.1 Flash |
|---|---|---|
| Artificial Analysis Intelligence Index | Not checked yet | 41.1 |
Specs
Context, modalities and tool use
| Measure | Ling-1T | Ling 3.1 Flash |
|---|---|---|
| Context window | Not checked yet | 1,000,000 tokens |
| Reads | Not checked yet | Text |
| Writes | Not checked yet | Text |
| Tool calling | Not checked yet | Yes |
| Reasoning mode | Not checked yet | Yes |
| Open weights | Not checked yet | No |
| Listed since | Not checked yet | 2 Oct 2026 |
Usage
How much each one is used
| Measure | Ling-1T | Ling 3.1 Flash |
|---|---|---|
| Tokens served on OpenRouter in a day | Not checked yet | 4.7B (for 7 Nov 2026) |
| Requests on OpenRouter in a day | Not checked yet | 179K (for 7 Nov 2026) |
| Tool calls on OpenRouter in a day | Not checked yet | 78.3K (for 7 Nov 2026) |
| Token usage, last 7 days | Not checked yet | Up 80% on the week before (for 7 Nov 2026) |
- Ling-1T No usage checked yet
- Ling 3.1 Flash
How this works
One link, either order
This link stays the same whichever order you name the two models in, so you can share it as it is. A line appears only when at least one model has a value we confirmed from a source; values we have not confirmed are left out, never guessed. To add a third record of any type, use the open comparison. Read how we check facts.